Analytics-Con-202模擬試験問題集、Analytics-Con-202資格受験料

私たちが知っているように、一部の人々は以前に試験に失敗し、Analytics-Con-202トレーニング資料を購入する前にこの苦しい試験に自信を失いました。私たちはここで悲しみを分けます。これから時間のかかる思考を捨てることができます。対照的に、それらは不明瞭なコンテンツを感じることなくあなたの可能性を刺激します。 Analytics-Con-202試験準備を取得した後、試験期間中に大きなストレスにさらされることはありません。

Salesforce Analytics-Con-202 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Managing Workspaces & Orgs10%- Personal Org
  • 1. Deploy and manage a Personal Org
    - Workspace and Asset Management
    • 1. Manage and share Tableau Next assets
      • 2. Deploy Tableau Next assets
        Topic 2: Basic Setup & Admin10%- Tableau Next Setup
        • 1. Activate and manage Tableau Next features
          - User Access
          • 1. Apply appropriate access to enable users
            - Agentic Analytics
            • 1. Activate Agentic Analytics for users
              Topic 3: Embedding, Cross-Cloud, & Interoperability20%- Developer Tools and APIs
              • 1. Tools and APIs available for developers
                - Salesforce Analytics Integration
                • 1. Tableau Next integration with Salesforce analytics platforms
                  - Cross-Platform Workflows
                  • 1. Surface Tableau Next assets within user workflows across platforms
                    - Tableau Next Apps and Marketplace
                    • 1. Marketplace offerings
                      • 2. Tableau Next Apps for Salesforce
                        Topic 4: Data Setup20%- Data 360
                        • 1. Data integration, management, preparation, and modeling
                          - Semantic Models
                          • 1. Components, design, and application of semantic models
                            - Data Architecture and Processing
                            • 1. Determine the appropriate data architecture or data processing approach
                              Topic 5: Agentic Experiences25%- Analytics Agent
                              • 1. Explore data and generate insights
                                • 2. Proactive data alerts and notifications
                                  - Agentic Readiness
                                  • 1. Assess and ensure Agentic readiness
                                    - Generative AI
                                    • 1. Generative AI capabilities for creating Tableau Next components
                                      Topic 6: Visualizations & Dashboards15%- Dashboard Actions
                                      • 1. Configure actions within Tableau Next
                                        - Visualization and Dashboard Design
                                        • 1. Design user-friendly Tableau Next assets
                                          • 2. Visualization and dashboarding best practices

                                            >> Analytics-Con-202模擬試験問題集 <<

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                                            Salesforce Certified Tableau Next Consultant 認定 Analytics-Con-202 試験問題 (Q86-Q91):

                                            質問 # 86
                                            During a Tableau Next implementation, a Tableau Next Consultant is explaining to the admin team when Agent Scoping for Tableau Agent actually takes effect. When is Agent Scoping used?

                                            正解:A

                                            解説:
                                            Agent Scoping is specifically designed for situations in which Tableau Agent receives a question without clear analytical context. Salesforce defines Agent Scoping as the administrator-controlled list of semantic models that Tableau Agent can search when context cannot otherwise determine which model should answer the user's question.
                                            Typical examples include Tableau Agent being used in Slack or embedded on a page that does not contain a Tableau Next dashboard, metric, or other asset capable of supplying context. The configured semantic-model list serves as a fallback list. Tableau Agent can then determine which approved model should be used to resolve the user's request.
                                            Agent Scoping does not run indiscriminately for every question, which eliminates B. When Tableau Agent is invoked from an analytical surface that already provides clear semantic context, that existing context guides the interaction. C is also overly restrictive; Agent Scoping is not limited to metric-details pages or scenarios involving multiple models attached to a metric.
                                            Administrators can configure approved fallback semantic models for active Analytics and Visualization agents using the Data Analysis subagent.
                                            References/Topics: Agentic Experiences - > Tableau Agent - > Agent Scoping - > Fallback Semantic Models
                                            - > Context Resolution.


                                            質問 # 87
                                            Cloud Kicks requires a group to have access to Tableau Next strictly to ask natural language questions via Tableau Agent and view the resulting insights. The group will not create any dashboards or data models.
                                            What is the most appropriate permission set to assign to this group?

                                            正解:B

                                            解説:
                                            Tableau Unmetered Self-Service Consumer is the best match because these users only require consumption and conversational-analysis functionality rather than administrative or authoring privileges.
                                            Salesforce's current permission-set documentation states that users assigned Tableau Unmetered Self-Service Consumer can browse, view, and interact with Tableau Next production assets and can use Tableau Agent.
                                            They can also view dashboards, visualizations, metrics, and other supported analytics without receiving the broader content-management capabilities associated with analyst or administrator roles.
                                            The Tableau Unmetered Admin permission set provides substantially excessive privileges, including platform configuration, user administration, asset management, and governance capabilities. Assigning it would directly violate least-privilege design.
                                            The Tableau Unmetered Platform Analyst permission set is intended for users who create, manage, and share governed Tableau Next assets. Those capabilities are unnecessary because the stated users will not create dashboards or semantic models.
                                            The certification principle is straightforward: license and permission assignment should reflect the minimum required analytical persona. Conversational consumption alone does not justify authoring or administrative privileges.
                                            References/Topics: Basic Setup and Admin - > Tableau Next Licenses and Permission Sets - > Self-Service Consumer - > Tableau Agent Access.


                                            質問 # 88
                                            A Tableau Next Consultant is asked to configure workspace access for sensitive dashboards. Which General Access setting ensures no one can see dashboards by default?

                                            正解:B

                                            解説:
                                            Restricted is the correct General Access state. Salesforce documents that newly created Tableau Next assets are restricted by default. When General Access remains restricted, only individual users or Analytics Groups that have been explicitly granted access can open the asset.
                                            For sensitive dashboards, this provides the correct baseline because access is opt-in rather than org-wide. The owner can then grant specific users or groups Viewer access and, where supported at the workspace level, Editor access.
                                            Salesforce also makes an important distinction between Tableau Next asset access and underlying data access.
                                            Even if a dashboard is shared with a user, that action does not automatically grant permission to the DLOs, DMOs, or data spaces on which the dashboard depends. Data 360 governance still applies separately.
                                            "Public" and "Shared" are not the documented General Access states that produce the required private-by- default behavior. Current Tableau Next access management uses Restricted as the state in which only explicitly shared users or groups can access an asset.
                                            For sensitive content, the architecture should therefore use Restricted asset access + explicit user/group sharing + Data 360 governance.
                                            References/Topics: Managing Workspaces and Orgs - > General Access - > Restricted - > Asset Sharing - > Data Governance.


                                            質問 # 89
                                            What is a prerequisite for using generative AI to create calculated fields using multi- turn, natural language?

                                            正解:B

                                            解説:
                                            Option A, Draft with Einstein, can generate a calculation from natural language, but the question specifically asks about the multi-turn conversational agent experience, where the agent interacts with the user and refines the requirement. Therefore it is not the best answer. Option B addresses optimization/readiness rather than calculated-field authoring.
                                            References/Topics: Agentic Experiences - > Tableau Agent - > Semantic Modeling/Data Pro - > Conversational Calculated Fields - > Natural-Language Authoring.


                                            質問 # 90
                                            A Tableau Next Consultant needs to ensure that metrics created in Tableau Next are consistently defined across multiple business units. Which feature supports this requirement?

                                            正解:C

                                            解説:
                                            Semantic Data Models are specifically intended to establish standardized, reusable definitions for analytical concepts and metrics. Salesforce describes Tableau Semantics as a semantic layer that maps data to familiar business terminology and standardized logic so information can be interpreted consistently across Salesforce.
                                            Semantic models become a single source of truth for metrics, calculations, relationships, dimensions, and other analytical definitions.
                                            Therefore, if several business units must calculate and interpret a metric consistently, the correct architecture is to define that KPI through the governed semantic model rather than recreating logic independently in each dashboard or workspace.
                                            Workspace-level color palettes address visual presentation and branding rather than analytical definitions.
                                            Dashboard templates can standardize dashboard structure and reuse assets, but they do not provide the authoritative semantic definition layer required to guarantee that the same business metric has the same meaning everywhere.
                                            Salesforce explicitly states that semantic models are first-class Salesforce metadata and can power analytics and data-driven experiences throughout Data 360 and Tableau Next. This reusable semantic architecture prevents divergent metric logic from developing between departments.
                                            References/Topics: Data Setup - > Tableau Semantics - > Semantic Data Models - > Metrics - > Standardized Business Logic - > Single Source of Truth.


                                            質問 # 91
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